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Evaluation of Argo Scholar with Observational Study (2210.13510v1)

Published 24 Oct 2022 in cs.HC

Abstract: Discovering and making sense of relevant literature is fundamental in any scientific field. Node-link diagram-based visualization tools can aid this process; however, existing tools have been evaluated only on small scales. This paper evaluates Argo Scholar, an open-source visualization tool designed for interactive exploration of literature and easy sharing of exploration results. A large-scale user study of 122 participants from diverse backgrounds and experiences showed that Argo Scholar is effective at helping users find related work and understand paper connections, and incremental graph-based exploration is effective across diverse disciplines. Based on the user study and user feedback, we provide design considerations and feature suggestions for future work.

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Authors (7)
  1. Kevin Li (59 papers)
  2. Haoyang Yang (10 papers)
  3. Evan Montoya (3 papers)
  4. Anish Upadhayay (4 papers)
  5. Zhiyan Zhou (6 papers)
  6. Jon Saad-Falcon (19 papers)
  7. Duen Horng Chau (109 papers)

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